Bioinformatics Genomics BSc (Hons)

The aim of this module is to provide you with a robust foundation in bioinformatics and computational biology. By combining the exploration of computational tools for high-throughput biological data analysis with in-depth network analysis and modelling, the module aims to foster critical thinking, practical skills, and interdisciplinary collaboration. 

Through these learning experiences, you will be equipped to comprehend complex biological data, apply computational methods effectively, and interpret network properties, thereby preparing them to contribute meaningfully to the field of bioinformatics and systems biology.

The aim of this module is to help you understand how drugs work in the body to prevent and treat diseases. You will learn about how drugs interact with the body, how doses affect responses, different ways drugs can be given, types of drugs, how the body processes and removes drugs, and the potential dangers. You will also explore methods for discovering new drugs and the idea of personalised medicine.

This module aims to equip you with comprehensive knowledge, skills, and practical experience in research, evidence-based practice, clinical audit, innovation, and collaborative teamwork in biomedical and biosciences contexts.

This module aims to provide you with an in-depth knowledge of the current concepts of basic immunology as well as continue to build on your infection knowledge from Level 4 with respect to diseases you may encounter in the clinic.

Theoretical concepts are reinforced through laboratory practical sessions which will introduce you to diagnostic microbiological and basic immunological techniques and data analysis which are broadly used in a variety of clinical settings and scientific disciplines.

This module provides an in-depth exploration of the fundamental principles of genetics, inheritance, and the mechanisms that drive evolution. Through the lens of various bioscience and biomedical sciences disciplines, you will explore the intricate world of genetics, gaining practical laboratory skills, an understanding and application of molecular biology, and the ability to analyse biological data. The module will also cover the integration of knowledge across bioscience/biomedical sciences disciplines to tackle complex biological inquiries and foster effective communication of scientific concepts.

This module provides a comprehensive introduction to modern protein science including investigating the relationship between protein structure and function, techniques for analysing protein sequences and for determining protein structure and function such as fluorescence, spectroscopy, and protein engineering. 

The opportunities provided by genetic approaches to engineer proteins and their therapeutic and biotechnology applications will also be discussed. Enzyme mechanisms and regulation will be taught complementing learning content in the Cell Metabolism module. 

The module introduces you to the basics of bioinformatics, increasingly used in biological research and is a skill in high demand by employers. This module builds on the key concepts in Molecular Biology and Biochemistry taught at Level 4 which elucidate the importance of macromolecules in the cell.

The 40-credit module aims to equip you to plan and produce a small-scale research project relevant to your own area of interest. You will learn to develop an appreciation of how scientific knowledge advances through research including the challenges and limitations. With the support of a supervisor, and shared discussions with other students, you will work independently to carry out a research project to completion.

The module provides you with opportunities to develop a firm understanding of the theories and concepts underpinning nanobiology and apply bio-nanotechnology and bioinformatics skills and tools to study the structure, function, and operational mechanism of RNA biology, proteins, genome editing, and vehicles for gene therapy.

The module aims to equip you with bioinformatics skills to analyse the genetic makeup of biological populations and understand how various factors, including natural selection, influence changes in genetic composition. You will explore theories and concepts explaining the genetic, genomic, and environmental factors contributing to human diversity, variations in disease responses, and drug therapies.

The aim of this module is to provide you with advanced knowledge and understanding of the application of data science in healthcare. The module will introduce a range of advanced statistical methods that are used in health data science, such as linear regression, logistic regression, survival analysis, and principal component analysis.

The module also aims to develop your understanding of the whole data science process, including defining the question, obtaining a dataset, performing analysis, interpreting the results, and communicating the results to a wide audience.

This module introduces you to the fundamental concepts and techniques in bioinformatics genomics. It focuses on the analysis of large-scale biological data generated from genomics experiments and covers essential computational tools and methods for understanding the genetic information of organisms. Through a combination of theoretical knowledge and hands-on practical sessions, you will gain the skills required to process, analyse, and interpret genomic data.